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Colorado ONE Fund Invests in Bedrock Research – Advancing AI-Driven Geospatial Intelligence | Trending From Our Network

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COLORADO SPRINGS, Colo., July 1, 2025 /PRNewswire/ — Colorado ONE Fund, a venture arm of ONE Funds, has announced a seed investment in Bedrock Research, a Highlands Ranch, Colorado-based startup pioneering AI-powered global remote sensing and monitoring.

 

Bedrock Research is transforming how organizations monitor the world by fusing and analyzing data from optical and SAR imagery, AIS, thermal sensors, full-motion video, open-source feeds, analyst reports, and more. Its robust data fusion engine then applies AI-powered anomaly detection and semantic annotation to pinpoint meaningful signals in real time before they escalate into high-risk situations. With growing traction across defense, energy, and infrastructure sectors, Bedrock enables decision-makers to shift from reactive to anticipatory action with speed, clarity, and confidence.

“Bedrock fills an important gap in U.S. defense and intelligence capabilities,” said Kevin O’Neil, Founder and CEO of ONE Funds. “Their technical innovation and exceptional team align strongly with our investment thesis. We are excited to support their continued growth and real-world impact both nationally and globally.”

Unlike traditional systems that require months to configure, Bedrock’s model can be rapidly customized and delivered within days or weeks—empowering customers to respond swiftly in dynamic operational environments.

“It’s critical to help our customers adapt to a constantly shifting world,” said Kevin LaTourette, CEO of Bedrock Research. “Today, they might be looking for a needle in a haystack. Tomorrow, they could be tracking a single snowflake in a blizzard. Our solution is designed to cut through the noise and highlight what truly matters.”

About Bedrock Research

Bedrock Research builds AI-powered solutions for real-time remote sensing and geospatial intelligence. By fusing sensor-agnostic data streams and applying anomaly detection and semantic understanding, Bedrock accelerates decision-making across energy, supply chain, humanitarian, environmental, and defense domains. Learn more at www.bedrockresearch.ai.

About ONE Funds

Founded in 2023, ONE Funds focuses on impact investing in the defense sector. With a unique ecosystem, ONE Funds connects defense technology innovators with government leadership, applying a strategic consortium model to grow small businesses. Boasting 250 years of cumulative defense experience, ONE Funds invests in aerospace and national defense technologies to deliver strong returns while advancing critical security innovations. As part of ONE Funds, Colorado ONE Fund partners with the Colorado Venture Capital Authority (VCA) to back early-stage, high-impact technologies supporting national defense. Learn more at www.onefunds.com.

German Nunez

Managing Director 

german.nunez@onefunds.com

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Exclusive | Cyberport may use Chinese GPUs at Hong Kong supercomputing hub to cut reliance on Nvidia

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September 14, 2025

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Cyberport may add some graphics processing units (GPUs) made in China to its Artificial Intelligence Supercomputing Centre in Hong Kong, as the government-run incubator seeks to reduce its reliance on Nvidia chips amid worsening China-US relations, its chief executive said.

Cyberport has bought four GPUs made by four different mainland Chinese chipmakers and has been testing them at its AI lab to gauge which ones to adopt in the expanding facilities, Rocky Cheng Chung-ngam said in an interview with the Post on Friday. The park has been weighing the use of Chinese GPUs since it first began installing Nvidia chips last year, he said.

“At that time, China-US relations were already quite strained, so relying solely on [Nvidia] was no longer an option,” Cheng said. “That is why we felt that for any new procurement, we should in any case include some from the mainland.”

Cyberport’s AI supercomputing centre, established in December with its first phase offering 1,300 petaflops of computing power, will deliver another 1,700 petaflops by the end of this year, with all 3,000 petaflops currently relying on Nvidia’s H800 chips, he added.

Cyberport CEO Rocky Cheng Chung-ngam on September 12, 2025. Photo: Jonathan Wong

As all four Chinese solutions offer similar performance, Cyberport would take cost into account when determining which ones to order, according to Cheng, declining to name the suppliers.



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Why do AI chatbots use so much energy?

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September 14, 2025

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In recent years, ChatGPT has exploded in popularity, with nearly 200 million users pumping a total of over a billion prompts into the app every day. These prompts may seem to complete requests out of thin air.

But behind the scenes, artificial intelligence (AI) chatbots are using a massive amount of energy. In 2023, data centers, which are used to train and process AI, were responsible for 4.4% of electricity use in the United States. Across the world, these centers make up around 1.5% of global energy consumption. These numbers are expected to skyrocket, at least doubling by 2030 as the demand for AI grows.



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AI Transformation (AX) using artificial intelligence (AI) is spreading throughout the domestic finan..

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September 14, 2025

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AI Transformation (AX) using artificial intelligence (AI) is spreading throughout the domestic financial sector. Beyond simple digital transformation (DX), the strategy is to internalize AI across organizations and services to achieve management efficiency, work automation, and customer experience innovation at the same time. Financial companies are moving the judgment that it will be difficult to survive unless they raise their AI capabilities across the company in an environment where regulations and competition are intensifying. AX’s core is internal process innovation and customer service differentiation. AI can reduce costs and secure speed by quickly and accurately handling existing human-dependent tasks such as loan review, risk management, investment product recommendation, and internal counseling support.

At customer contact points, high-quality counseling is provided 24 hours a day through AI bankers, voice robots, and customized chatbots to increase financial service satisfaction. Industry sources say, “AX is not just a matter of technology, but a structural change that determines financial companies’ competitiveness and crisis response.”

First of all, major domestic banks and financial holding companies began to introduce in-house AI assistant and private large language model (LLM), establish a dedicated organization, and establish an AI governance system at the level of all affiliates. It is trying to automate internal work and differentiate customer services at the same time by establishing a strategic center at the group company level or introducing collaboration tools and AI platforms throughout the company.

KB Financial Group has established a ‘KB AI strategy’ and a ‘KB AI agent roadmap’ to introduce more than 250 AI agents to 39 core business areas of the group. It has established the ‘KB GenAI Portal’ for the first time in the financial sector to create an environment in which all executives and employees can utilize and develop AI without coding, and through this, it is efficiently changing work productivity and how they work.

Shinhan Financial Group is increasing work productivity with cloud-based collaboration tools (M365+Copilot) and introducing AI to the site by affiliates. Shinhan Bank placed Generative AI bankers at the window through the “AI Branch,” and in the application “SOL,” “AI Investment Mate” provides customized information to customers through card news.

사진설명

Hana Bank is operating a “foreign exchange company AI departure prediction system” using its foreign exchange expertise. It is a structure that analyzes 253 variables based on past transaction data to calculate the possibility of suspension of transactions and automatically guides branches to help preemptively respond.

Woori Financial Group established an AI strategy center within the holding under the leadership of Chairman Lim Jong-ryong and deployed AI-only organizations to all affiliates, including banks, cards, securities, and insurance.

Internet banks are trying to differentiate themselves by focusing on interactive search and calculation machines, forgery and alteration detection, customized recommendations, and spreading in-house AI culture. As there is no offline sales network, it is actively strengthening customer contact AI innovation such as app and mobile counseling.

Kakao Bank has upgraded its AI organization to a group and has more than 500 dedicated personnel. K-Bank achieved a 100% recognition rate with its identification card recognition solution using AI, and started to set standards by publishing papers to academia. Toss Bank uses AI to determine ID forgery and alteration (99.5% accuracy), automate mass document optical character recognition (OCR), convert counseling voice letters (STT), and build its own financial-specific language model.

Insurance companies are increasing accuracy, approval rate, and processing speed by introducing AI in the entire process of risk assessment, underwriting, and insurance payment. Due to the nature of the insurance industry, the effect of using AI is remarkable as the screening and payment process is long and complex.

Samsung Fire & Marine Insurance has more than halved the proportion of manpower review by automating the cancer diagnosis and surgical benefit review process through ‘AI medical review’. The machine learning-based “Long-Term Insurance Sickness Screening System” raised the approval rate from 71% to 90% and secured patents.

Industry experts view this AI transformation as a paradigm shift in the financial industry, not just the introduction of technology. It is necessary to create new added value and customer experiences beyond cost reduction and efficiency through AI. In particular, it is evaluated that the differentiation of financial companies will be strengthened only when AI and data are directly connected to resolving customer inconveniences.

However, preparing for ethical, security, and accountability issues is considered an essential task as much as the speed of AI’s spread. Failure to manage risks such as the impact of large language models on financial decision-making, personal information protection, and algorithmic bias can lead to loss of trust. This means that the process of developing accumulated experiences into industrial standards through small experiments is of paramount importance.

[Reporter Lee Soyeon]



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